As a Sr. AI/ML Engineer, you will be at the forefront of developing and deploying cutting-edge AI solutions to solve complex business challenges. Your day-to-day will involve designing, building, and evaluating machine learning models, working closely with data scientists, product managers, and software engineers. You will contribute directly to improving our products and services, impacting user experience and driving key business outcomes through innovative AI applications.

Key Responsibilities :

- Design and implement scalable machine learning models and algorithms to address specific business needs, enhancing product features and user engagement.

- Develop and maintain robust data pipelines for efficient data ingestion, processing, and feature engineering, ensuring high-quality data for model training.

- Evaluate model performance using appropriate metrics and statistical analysis, iterating on model design to optimize accuracy and efficiency.

- Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems and workflows, streamlining processes and improving decision-making.

- Research and implement state-of-the-art techniques in AI/ML, staying abreast of the latest advancements and applying them to relevant projects.

- Deploy and monitor machine learning models in production environments, ensuring reliability, scalability, and performance.

- Contribute to the development of best practices and standards for AI/ML development, promoting knowledge sharing and collaboration within the team.

Required Skillset :

- Demonstrated expertise in designing, developing, and deploying machine learning models using Python and related libraries (e.g., scikit-learn, TensorFlow, PyTorch).

- Proven ability to apply deep learning techniques to solve complex problems in areas such as computer vision, natural language processing, or time series analysis.

- Strong understanding of data mining techniques and experience in extracting insights from large datasets.

- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.

- Solid understanding of statistical modeling, machine learning algorithms, and evaluation metrics.

- Ability to work independently and as part of a team in a fast-paced, dynamic environment.

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.

- Experience : 4 - 10 Years